Teaching process is a vital part in the process of knowledge gaining. That is why we put all our affords to create most interactive and breathtaking teaching materials. With our Business Related materials your students will enhance their knowledge and you can be sure that teaching process will be as interesting as it possible.
Teaching process is a vital part in the process of knowledge gaining. That is why we put all our affords to create most interactive and breathtaking teaching materials. With our Business Related materials your students will enhance their knowledge and you can be sure that teaching process will be as interesting as it possible.
Sampling Distributions is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.
In many applications, you want to make inferences that are based on statistics calculated from samples to estimate the values of population parameters. In this lecture, you will learn about how the sample mean (a statistic) is used to estimate the population mean (a parameter) and how the sample proportion (a statistic) is used to estimate the population proportion (a parameter).
In this lecture, you learn to:
The concept of the sampling distribution
To compute probabilities related to the sample mean and the sample proportion
The importance of the Central Limit Theorem
In this file you will find:
Sampling Distributions Lecture Power Point Presentation
Sampling Distributions Test Bank with 129 different related questions with full answer description and explanation
29 Exercises related to the topic with all answers to them
Sampling Distributions Reading Resources file in order to enhance Lecturer/Teacher/Student knowledge
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All resources are compressed in zip file.
You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH
Derivative of Univariable Functions is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge.
During this Lecture and Seminar we are covering following subtopics (Agenda):
- Meaning of derivatives
- Differentiation rules of univariate functions
- Applications of derivatives
In this File you will find:
- 1 Derivative of Univariable Functions Lecture Power Point Presentation 28 Slides
- 1 Seminar Plan
- 19 Seminar Activities with full answer list for students
All covered materials are taught for bachelor level students Level 3.
Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.
Multivariable Functions is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge.
During this Lecture and Seminar we are covering following subtopics (Agenda):
- Space Rn
- Multivariable functions and their properties
- Applications of multivariable functions
In this File you will find:
- 1 Multivariable Functions Lecture Power Point Presentation
- 1 Seminar Plan
- 21 Seminar Activities with full answer list for students
All covered materials are taught for bachelor level students Level 3.
Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.
Derivative of Multivariable Functions is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge.
During this Lecture and Seminar we are covering following subtopics (Agenda):
•Partial derivatives of multivariable functions
•Rules of partial differentiation
•Applications of partial derivatives
In this File you will find:
- 1 Derivative of Multivariable Functions Lecture Power Point Presentation 28 Slides
- 1 Seminar Plan
- 14 Seminar Activities with full answer list for students
All covered materials are taught for bachelor level students Level 3.
Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.
Integration is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge.
During this Lecture and Seminar we are covering following subtopics (Agenda):
•Indefinite integrals
•Definite integrals
•Applications of indefinite and definite integrals
In this File you will find:
- 1 Integration Lecture Power Point Presentation 25 Slides
- 1 Seminar Plan
- 13 Seminar Activities with full answer list for students
All covered materials are taught for bachelor level students Level 3.
Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.
MS Excel Applications is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge.
During this Lecture and Seminar we are covering following subtopics (Agenda):
•Entering formulae
•Sketching graphs
•Descriptive statistics
•Solving equations
•Solving linear programming problems
•Solving simultaneous linear equations
In this File you will find:
- 1 MS Excel Applications Lecture Power Point Presentation 17 Slides
- 1 Seminar Plan
- 13 Seminar Activities with full answer list for students
All covered materials are taught for bachelor level students Level 3.
Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.
Mathematics of Finance is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge.
During this Lecture and Seminar we are covering following subtopics (Agenda):
- Indices and logarithms and their rules
- Exponential functions
- Applications of exponential functions
- Limit and continuity of functions
In this File you will find:
- 1 Mathematics of Finance Lecture Power Point Presentation 28 Slides
- 1 Seminar Plan
- 19 Seminar Activities with full answer list for students
All covered materials are taught for bachelor level students Level 3.
Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.
Constrained Optimization is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge.
During this Lecture and Seminar we are covering following subtopics (Agenda):
• Optimization on the intervals
• Method of substitution
• Method of Lagrange multipliers
In this File you will find:
- 1 Constrained Optimization Lecture Power Point Presentation 24 Slides
- 1 Seminar Plan
- 18 Seminar Activities with full answer list for students
All covered materials are taught for bachelor level students Level 3.
Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.
Organizing and Visualizing Variables is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.
When you organize the data, you sometimes begin to discover patterns or relationships in the data. To better explore and discover patterns and relationships, you can visualize your data by creating various charts and special displays.
Because the methods used to organize and visualize the data collected for categorical variables differ from the methods used to organize and visualize the data collected for numerical variables, this lecture discusses them in separate sections. You will always need to first determine the type of variable, numerical or categorical, you seek to organize and visualize, in order to choose appropriate methods.
This lecture also contains a section on common errors that people make when visualizing variables. When learning methods to visualize variables, you should be aware of such possible errors because of the potential of such errors to mislead and misinform decision makers about the data you have collected.
In this lecture you learn to:
To construct tables and charts for categorical data
To construct tables and charts for numerical data
The principles of properly presenting graphs
To organize and analyze many variables
In this file you will find:
Organizing and Visualizing Variables Lecture Power Point Presentation
Test Bank with 212 different related questions with full answer description and explanation
93 Exercises related to the topic with all answers to them
Defining and Collecting DataReading Resources file in order to enhance Lecturer/Teacher/Student knowledge
Once you will purchase this resource please leave a comment!
All resources are compressed in zip file.
You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH
Defining and Collecting Data is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.
Nowadays, Data playing an important role in the success of the company. Without reliable and proper data most probably company will fail, while by possessing good data company may get a competitive advantage over main competitors in the market. It is extremely important for future managers to understand how to collect as well as to analyze data, as well as how to work with it. This teaching resource will help you to deliver Defining and Collecting Data lecture as well as seminar in interesting and professional way to your students.
In this lecture you learn to:
Understand the types of variables used in statistics
Know the different measurement scales
Know how to collect data
Know the different ways to collect a sample
Understand the types of survey errors
In this file you will find:
Defining and Collecting Data Lecture Power Point Presentation
Test Bank with 204 different related questions with full answer description and explanation
45 Exercises related to the topic with all answers to them
Two Interesting Case Studies with all answers to case study questions
Defining and Collecting Data Reading Resources file in order to enhance Lecturer/Teacher/Student knowledge
Once you will purchase this resource please leave a comment!
All resources are compressed in zip file.
You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH
Basic Probability is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.
The principles of probability help bridge the worlds of descriptive statistics and inferential statistics. Probability principles are the foundation for the probability distribution, the concept of mathematical expectation, and the binomial, Poisson, and hypergeometric distributions, topics.
In this lecture you learn to:
Basic probability concepts
About conditional probability
To use Bayes’ Theorem to revise probabilities
Various counting rules
In this file you will find:
Basic Probability Lecture Power Point Presentation
Test Bank with 171 different related questions with full answer description and explanation
65 Exercises related to the topic with all answers to them
Defining and Collecting Data Reading Resources file in order to enhance Lecturer/Teacher/Student knowledge
Once you will purchase this resource please leave a comment!
All resources are compressed in zip file.
You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH
Discrete Probability Distributions is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.
This lecture introduces you to the concept and characteristics of probability distributions. Moreover, you will learn how the binomial, Poisson, and hypergeometric distributions can be applied to help solve business problems.
A probability distribution for a discrete variable is a mutually exclusive list of all the possible numerical outcomes along with the probability of occurrence of each outcome. For more information look at the agenda of the lesson.
In this lecture, you learn to:
The properties of a probability distribution
To compute the expected value and variance of a probability distribution
To calculate the covariance and understand its use in finance
To compute probabilities from binomial, hypergeometric, and Poisson distributions
To use the binomial, hypergeometric, and Poisson distributions to solve business problems
In this file you will find:
Discrete Probability Distributions Lecture Power Point Presentation
Test Bank with 171 different related questions with full answer description and explanation
65 Exercises related to the topic with all answers to them
Defining and Collecting Data Reading Resources file in order to enhance Lecturer/Teacher/Student knowledge
Once you will purchase this resource please leave a comment!
All resources are compressed in zip file.
You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH
Two-Sample Tests is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.
In this lecture, you will learn how to extend hypothesis testing to two-sample tests that compare statistics from samples selected from two populations.
Learning objectives:
• How to use hypothesis testing for comparing the difference between
– The means of two independent populations
– The means of two related populations
– The proportions of two independent populations
– The variances of two independent populations
• The impact sample size can have on statistical significance
• How to classify the effect size of a difference
• When it is appropriate to consider the effect size in addition to statistical significance
In this File you will find:
Two-Sample Tests Lecture Power Point Presentation
Test Bank for Two-Sample Tests with 210 Questions with answers
69 Exercises for Two-Sample Tests
Plus reading resource on Two-Sample Tests in order to enhance you overall knowledge about the topic.
Once you will purchase this resource please leave a comment!
All resources are compressed in zip file.
You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH
A Roadmap for Analyzing Data is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.
Choosing appropriate statistical methods for your data is the single most important task you face and is at the heart of “doing statistics.” But this selection process is also the single most difficult thing you do when applying statistics! How, then, can you ensure that you have made an appropriate choice? By asking a series of questions, you can guide yourself to the appropriate choice of methods.
Learning objectives:
The questions to ask when choosing which statistical methods to use to conduct data analysis
Rules for applying statistics in future studies and analyses
This lecture discusses:
How to choose the appropriate technique(s) for data analysis for both numerical and categorical variables
Potential questions and the associated appropriate techniques for numerical variables
Potential questions and the associated appropriate techniques for categorical variables
In this File you will find:
A Roadmap for Analyzing Data Lecture Power Point Presentation
Test Bank for A Roadmap for Analyzing Data with 327 Questions with all answers to them
15 Exercises for A Roadmap for Analyzing Data seminar or lecture
Plus reading resource on A Roadmap for Analyzing Data in order to enhance you overall knowledge about the topic.
Once you will purchase this resource please leave a comment!
All resources are compressed in zip file.
You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH
Analysis of Variance (ANOVA) is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.
Analysis of variance, known by the acronym ANOVA, allows statistical comparison among samples taken from many populations. While ANOVA literally does analyze variation, the purpose of ANOVA is to reach conclusions about possible differences among the means of each group, analogous to the hypothesis tests of the previous chapter. Every ANOVA design uses samples that represent each group and subdivides the total variation observed across all samples (all groups) toward the goal of analyzing possible differences among the means of each group. How this subdivision, called partitioning, works is a function of the design being used, but total variation, represented by the quantity sum of squares total (SST), will always be the starting point. As with other statistical methods, ANOVA requires making assumptions about the populations that the groups represent.
Learning objectives:
The basic concepts of experimental design
How to use one-way analysis of variance to test for differences among the means of several groups
When and how to use a randomized block design
How to use two-way analysis of variance and interpret the interaction effect
How to perform multiple comparisons in a one-way analysis of variance, a randomized block design, and a two-way analysis of variance
In this File you will find:
Analysis of Variance Lecture Power Point Presentation
Test Bank for Analysis of Variance with 213 Questions with all answers to them
61 Exercises for Analysis of Variance lecture / seminar
Plus reading resource on Analysis of Variance in order to enhance you overall knowledge about the topic.
Once you will purchase this resource please leave a comment!
All resources are compressed in zip file.
Linear Programming is one of the topic which is covered during Mathematics lectures and seminars in order to enhance students knowledge.
During this Lecture and Seminar we are covering following subtopics (Agenda):
•Graphing linear inequalities
•Graphing systems of linear inequalities
•Linear programming problems
•Applications of linear programming
In this File you will find:
- 1 Linear Programming Lecture Power Point Presentation 23 Slides
- 1 Seminar Plan
- 14 Seminar Activities with full answer list for students
All covered materials are taught for bachelor level students Level 3.
Please write your comments once you purchase this lesson in order to have some suggestions for further improvements of teaching materials.
Simple Linear Regression is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.
This lecture discusses simple linear regression models that use a single numerical independent variable, X, to predict the numerical dependent variable, Y. In this lecture, you will learn regression analysis techniques that help uncover relationships between variables. regression analysis leads to selection of a model that expresses how one or more independent variables can be used to predict the value of another variable, called the dependent variable. regression models identify the type of mathematical relationship that exists between a dependent variable and an independent variable, thereby enabling you to quantify the effect that a change in the independent variable has on the dependent variable. Models also help you identify unusual values that may be outliers
Learning objectives:
How to use regression analysis to predict the value of a dependent variable based on a value of an independent variable
The meaning of the regression coefficients b0 and b1
How to evaluate the assumptions of regression analysis and know what to do if the assumptions are violated
To make inferences about the slope and correlation coefficient
To estimate mean values and predict individual values
In this File you will find:
Simple Linear Regression Lecture Power Point Presentation
Test Bank for Simple Linear Regression with 213 Questions with all answers to them
86 Exercises for Simple Linear Regression seminar or lecture
Plus reading resource on Simple Linear Regression in order to enhance you overall knowledge about the topic.
Once you will purchase this resource please leave a comment!
All resources are compressed in zip file.
You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH
Introduction to Multiple Regression is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.
This lecture will introduce you to multiple regression models that use two or more independent variables to predict the value of a dependent variable.
Learning objectives:
• How to develop a multiple regression model
• How to interpret the regression coefficients
• How to determine which independent variables to include in the regression model
• How to determine which independent variables are most important in predicting a dependent variable
• How to use categorical independent variables in a regression model
• How to predict a categorical dependent variable using logistic regression
• How to identify individual observations that may be unduly influencing the multiple regression model
In this File you will find:
Introduction to Multiple Regression Lecture Power Point Presentation
Test Bank for Introduction to Multiple Regression with 343 Questions with all answers to them
86 Exercises for Introduction to Multiple Regression
Plus reading resource on Introduction to Multiple Regression in order to enhance you overall knowledge about the topic.
Once you will purchase this resource please leave a comment!
All resources are compressed in zip file.
You can purchase this teaching resources with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH
Multiple Regression Model Building is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.
This lecture discusses multiple regression models with two independent variables. Moreover, this lecture considers regression models that contain more than two independent variables. Also lecture discusses model-building concepts that will help to develop the best model when confronted with a set of data that has many independent variables, such as the data to be collected at WSTA-TV. These concepts include quadratic independent variables, transformations of the dependent or independent variables, stepwise regression, and best-subsets regression.
Learning objectives:
To use quadratic terms in a regression model
To use transformed variables in a regression model
To measure the correlation among the independent variables
To build a regression model using either the stepwise or best-subsets approach
To avoid the pitfalls involved in developing a multiple regression model
In this lecture we discussed:
The quadratic regression model
Using transformations in regression models
- The multiplicative model
- The exponential model
Collinearity
Model building
- Stepwise regression
- Best subsets
The pitfalls & ethical considerations in multiple regression
In this File you will find:
Multiple Regression Model Building Lecture Power Point Presentation
Test Bank for Multiple Regression Model Building with 96 Questions with all answers to them
39 Exercises for Multiple Regression Model Building seminar or lecture
Plus reading resource on Multiple Regression Model Building in order to enhance you overall knowledge about the topic.
Once you will purchase this resource please leave a comment!
All resources are compressed in zip file.
You can purchase this teaching resource with more than 20 % Discount by pressing this link. Use coupon code during checkout process: LOVETOTEACH
Fundamentals of Hypothesis Testing: One-Sample Tests is a lecture which is covered within the Statistic or Basic Business Statistic module by business and economics students.
In this lecture, you will learn several applications of hypothesis testing. You will learn how to make inferences about a population parameter by analyzing differences between the results observed, the sample statistic, and many more.
Learning objectives:
The basic principles of hypothesis testing
How to use hypothesis testing to test a mean or proportion
The assumptions of each hypothesis-testing procedure, how to evaluate them, and the consequences if they are seriously violated
Pitfalls & ethical issues involved in hypothesis testing
How to avoid the pitfalls involved in hypothesis testing
In this File you will find:
Fundamentals of Hypothesis Testing: One-Sample Tests Lecture Power Point Presentation
Test Bank for Fundamentals of Hypothesis Testing: One-Sample Tests with 181 Questions with answers
78 Exercises for Fundamentals of Hypothesis Testing: One-Sample Tests
Plus reading resource on Fundamentals of Hypothesis Testing: One-Sample Tests in order to enhance you overall knowledge about the topic.
Once you will purchase this resource please leave a comment!
All resources are compressed in zip file.